Senior Product Designer

Company Description

Acumatica is a company on a mission. We are a leading innovator in cloud ERP (Enterprise Resource Planning) solutions with growing businesses worldwide. But don’t take our word for it—read what analysts like G2, IDC, Nucleus Research, and Info-Tech have to say about us.

Acumatica is different by design and purposely built to help small and midsized companies thrive in today’s digital economy. Our industry-specific business management solution is engineered to address real-world needs—featuring intelligent workflows and market-leading usability that enable companies to manage risk, anticipate disruption, and seize new opportunities. Our principled business practices, growth-friendly licensing, and flexible deployment options put organizations in control of their own future. Acumatica is more than just a product—we are a community of partners, customers, and creators committed to elevating business performance. Our ecosystem is driven by collaboration, merging leading technology and real-world insights to put organizations control of their future. In May of 2025, Acumatica was acquired by Vista Equity Partners, a global investment firm focused on enterprise software, data and technology-enabled businesses.

Acumatica’s culture is collaborative and high-energy. We are passionate about our product and our mission, and we are loyal to each other and our company. We value work/life balance, efficiency, simplicity, freakishly friendly customer service, and making a difference in the world. Acumatica offers exceptional professional and financial growth potential. To learn more about Acumatica’s mission, please visit: http://www.acumatica.com.

Job Description

The Senior Product Designer owns the end-to-end user experience of Acumatica applications, shapes workflows, and aligns them with the product vision. As an active member of the discovery team, they collaborate with the Product Manager, Business Analyst, Engineering Lead, and backend developers to translate business requirements into validated, scalable solutions. This role includes building working prototypes for Business Analysts to specify from and for backend developers to connect services to, modeling system behavior, writing clear behavioral specifications for engineers and AI agents, and ensuring AI-generated output meets quality and accessibility standards. The Senior Product Designer also mentors team members, leads cross-functional design sprints, and links design work to measurable business outcomes.

MAJOR ROLES & RESPONSIBILITIES

Discovery & Validation: Understanding Users and Problems

Conduct and synthesize user research and competitive analysis, including emerging UX patterns and AI capabilities, to inform design direction

Validate early concepts with users through working prototypes before committing to full design or engineering effort

Lead usability and UX acceptance testing to ensure the experience functions as designed. Define success metrics such as task completion, error rate, CSAT, and adoption with product managers. Identify and raise UX defects before release.

Interactive Systems Design: Designing Behavior, Not Just Screens

Own end-to-end UX for assigned epics, including AI-surfaced and headless experiences. Partner with the Engineering Lead to assess feasibility and trade-offs.

Model user flows, screen and component states, and transitions, defining how the UI responds to user input, validation, system events, and API responses

Design for non-deterministic AI output by defining fallback, recovery, and human-in-the-loop behavior when results are incomplete, incorrect, or low confidence

Prototype & Behavioral Specification: Building the Working Reference

Build working code prototypes in the component library to serve as reference artifacts. These prototypes help Business Analysts write functional and business specifications and enable backend developers to connect real services.

Structure prototypes to be plug-in ready, with defined mock data structures and clear data shapes. Keep the UI separate from data logic to prevent backend rework.

Write behavioral specifications that AI coding agents can interpret clearly, covering interaction rules, states, edge cases, and UI acceptance criteria.

Define UI-level guardrails for AI-surfaced features, such as how uncertainty is displayed, when human confirmation is required, and how users can override. Partner with the Product Manager and Business Analyst to establish the supporting business rules.

Annotate prototypes with known business rules and open questions to surface rules that do not appear on screen, such as permissions, validation logic, and calculations, early in the process.

Build reusable specification templates, prompt templates, and context files to ensure AI-generated output remains consistent with the design system.

Design Systems & Versioning: Keeping Design and Code in Sync

Work directly in BitBucket repositories: create branches, commit changes, open and review pull requests, and resolve basic merge conflicts

Store and edit design tokens in the code repository, keeping Figma variables and coded tokens aligned

Treat the coded component library as the source of truth, moving beyond Figma-only handoff. Structure the system so AI agents can use it reliably.

AI-Assisted Workflows & Design QA: Building Fast, Shipping Right

Use AI tools (e.g., Cursor, Claude Code, Figma Make) to build working prototypes in hours rather than days

Coordinate AI agents for research synthesis, specification drafting, prototyping, and documentation, while maintaining responsibility for final design decisions.

Audit AI-generated code and UI for design system compliance, interaction accuracy, and accessibility before it reaches engineering or users

Qualifications

5+ years of product design experience, with demonstrated impact on shipped products and business outcomes

Portfolio showing end-to-end ownership of complex B2B or enterprise workflows, including state models, edge cases, and system behavior

Demonstrate the ability to build working code prototypes with AI-assisted tools that Business Analysts can specify from and backend developers can connect services to, using defined mock data and UI separated from data logic.

Demonstrate strong accessibility awareness by applying WCAG standards and understanding assistive technologies to ensure all users can engage with the product effectively.

Demonstrate fluency in designing screen- and flow-level patterns for AI-surfaced and agentic experiences, including confidence indicators, override affordances, and human-in-the-loop controls, across both visual and headless interfaces.

Apply AI-augmented design strategy by setting cross-feature principles for how AI appears in the product (trust, transparency, user control, and communicating uncertainty), partnering with Data and AI teams, and guiding how AI is used across the design workflow

Connect design